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Cohort 137 - (Da/Ds/GenAI - SS)
Course content
39 sections | 77 lessons
Expand all sections
Link, Passcode & Updates Section
1 Lessons
Orientation Call
2 Lessons
Topics: 1. Introduction to Data Analytics and Machine Learning 2. Introduction to Python and Python Installation
2 Lessons
30th November
2 Lessons
1. Excel basic 2. Excel Class Project - basic
2 Lessons
1. Complete Excel Basic learning 2. Started with Python basic: working with print(), escape sequence, end, variables 3. Assignment 1 - for Excel
2 Lessons
1. Format string 2. input() 3. data types in Python - int, float, str, bool. complex 4.operators: arithmetic, relational, logical 5. introduction to conditions - if-elif-else
2 Lessons
1. For loop 2. While Loop 3. Match - Case 4. Modules 5. Program development
2 Lessons
Loops in Python * Mini project
2 Lessons
Strings in Python: String class, indexing, using with for loop, String operations, string methods
2 Lessons
1. Practice Problems in string in python 2. Python List tutorial and home work
2 Lessons
1. Tuples 2. Dictionary 3. Sets 4. Introduction to functions- global and local variable
2 Lessons
Functions full tutorial in Python
2 Lessons
Object Oriented Programming in Python
2 Lessons
10th January
2 Lessons
1. Database session 1: DBMS, RDBMS, Database Design, ER Diagram
2 Lessons
Database - designing MYSQL database 1 Attachment(s) Download as Zip
2 Lessons
1. INSERT 2. UPDATE 3. DELETE
2 Lessons
* SQL SELECT query tutorial
2 Lessons
1. SQL - JOINS and WINDOWS Functions 2. Project framework for T20 World Cup SQL Project
2 Lessons
Descriptive Statistics
2 Lessons
1. Data Analytics process 2. Data visualization for Univarite and Bivariate
2 Lessons
15th February
2 Lessons
1. Descriptive stats - last session 2. Stats tests: t-test and chi square test
2 Lessons
1. Probability Distribution 2. Numpy
2 Lessons
1. Numpy 2. Pandas
2 Lessons
Visualization Practice in Python using Matplotlib and Seaborn
2 Lessons
1. Data Wrangling 2. Analytics using Python
2 Lessons
Introduction to Power BI Process
2 Lessons
Data Transformation: Creating new column, new parameter, DAX query, Conditional column, Deleting and selecting Rows and Columns, Changing data type, duplicate column, rename column, splitting, etc
2 Lessons
Data Modelling in Power BI: Managing relationships
2 Lessons
Visualization in Power BI & DAX Formulae
2 Lessons
1. Completed Power BI 2. Discussion on Data Science and Machine Learning
2 Lessons
Machine Learning: Phases and steps Data Preprocessing Introduction to Regression
2 Lessons
Introduction to Data Preprocessing for Machine Learning
2 Lessons
1. Regression model evaluation 2. Classification model introduction
2 Lessons
1. Balancing the dataset 2. Classification algorithm: Logistic Regression, Decision Tree, K Nearest Neighbor, Random Forest
2 Lessons
Classification code and discussion around model evaluation and Decision tree
2 Lessons
1. Clustering complete tutorial 2. Introduction to NLP
2 Lessons
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